Triple
T2586893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Hubbardton |
E58025
|
entity |
| Predicate | AmericanCasualtiesKilledAndWounded |
P823
|
FINISHED |
| Object | several hundred (approx. 300–400) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: several hundred (approx. 300–400) | Statement: [Battle of Hubbardton, AmericanCasualtiesKilledAndWounded, several hundred (approx. 300–400)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AmericanCasualtiesKilledAndWounded Context triple: [Battle of Hubbardton, AmericanCasualtiesKilledAndWounded, several hundred (approx. 300–400)]
-
A.
UScasualties
Indicates the number or occurrence of casualties suffered by the United States in a given conflict, event, or situation.
-
B.
casualtiesUnitedStates
Indicates that the event or situation resulted in casualties (deaths and/or injuries) among United States personnel or citizens.
-
C.
casualtiesKilledUS
chosen
Indicates that the relationship specifies the number of U.S. individuals who were killed as casualties in an event or incident.
-
D.
casualtiesWoundedUS
Indicates that the relationship specifies the number of U.S. individuals who were wounded as casualties in an event or incident.
-
E.
englishCasualtiesKilledAndWounded
Indicates the number of English individuals who were either killed or wounded as a result of a particular event or conflict.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f8a3888190889c537e6df07305 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.